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  • 1
    In: Alzheimer's & Dementia, Wiley, Vol. 18, No. S3 ( 2022-12)
    Abstract: It is not unusual for Alzheimer’s Disease (AD) Research Center (ADRC) participants to enroll in additional studies such as the AD Neuroimaging Initiative (ADNI). In such cases, shared access to neuropathologic biospecimens is important to both studies, but dual‐enrollment status is not always known to acting ADRC personnel, and currently there is no centralized method to track dual enrollment. For this study, we aimed to identify individuals enrolled in ADNI and an ADRC, and identify those with autopsy data available through an ADRC but not ADNI. Method GWAS data were obtained for ADRC participants (N=22,935) through the AD Genetics Consortium (ADGC) and for ADNI participants (N=2,048) through the Laboratory of NeuroImaging (LONI); data were compared in PLINK v1.9 by identity‐by‐descent (IBD). ADRC/ADNI matches were filtered for pi‐hat 〉 0.8. Genotype data from a custom‐96 SNP microarray for ADRC and ADNI samples banked at the National Centralized Repository for Alzheimer’s Disease and Related Dementias (NCRAD) were also compared to identify additional matches. Year of birth, sex, race, and ethnicity were compared within matches. Participant IDs from matches were reviewed for autopsy data available through the National Alzheimer’s Coordinating Center (NACC) Uniform Data Set (UDS) and from ADNI, to identify participants with autopsy data available through NACC but not ADNI. We generated counts for matches that had year of death, and among those, how many had neuropathology variables. Result We identified 364 pairs with matched genetic (pi‐hat 〉 0.99) and available demographic data from GWAS data, and another 52 from NCRAD genotype data. Of these, 143 matched ADRC participants had a year of death. 98 of the 143 had autopsy variables in the NACC UDS. 44 of these 98 were included in the ADNI autopsy data set (2018 version) or pending integration by the ADNI Neuropathology Core (NPC). Thus, 54 ADRC brain donors could be reported to the ADRCs as dually‐enrolled in ADNI, providing the involved ADRCs the opportunity to share these biospecimens with the ADNI NPC. Conclusion This case study illustrates how identification of dually‐enrolled participants represents a unique opportunity to leverage data collected through multiple studies to enhance AD research.
    Type of Medium: Online Resource
    ISSN: 1552-5260 , 1552-5279
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2022
    detail.hit.zdb_id: 2201940-6
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  • 2
    In: Alzheimer's & Dementia, Wiley, Vol. 14, No. 7S_Part_21 ( 2018-07)
    Type of Medium: Online Resource
    ISSN: 1552-5260 , 1552-5279
    Language: English
    Publisher: Wiley
    Publication Date: 2018
    detail.hit.zdb_id: 2201940-6
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  • 3
    Online Resource
    Online Resource
    Association for Computing Machinery (ACM) ; 2005
    In:  ACM Transactions on Database Systems Vol. 30, No. 2 ( 2005-06), p. 624-660
    In: ACM Transactions on Database Systems, Association for Computing Machinery (ACM), Vol. 30, No. 2 ( 2005-06), p. 624-660
    Abstract: In this article, we develop a relational algebra for metadata integration, Federated Interoperable Relational Algebra (FIRA). FIRA has many desirable properties such as compositionality, closure, a deterministic semantics, a modest complexity, support for nested queries, a subalgebra equivalent to canonical Relational Algebra (RA), and robustness under certain classes of schema evolution. Beyond this, FIRA queries are capable of producing fully dynamic output schemas, where the number of relations and/or the number of columns in relations of the output varies dynamically with the input instance. Among existing query languages for relational metadata integration, only FIRA provides generalized dynamic output schemas, where the values in any (fixed) number of input columns can determine output schemas.Further contributions of this article include development of an extended relational model for metadata integration, the Federated Relational Data Model , which is strictly downward compatible with the relational model. Additionally, we define the notion of Transformational Completeness for relational query languages and postulate FIRA as a canonical transformationally complete language. We also give a declarative, SQL-like query language that is equivalent to FIRA, called Federated Interoperable Structured Query Language (FISQL).While our main contributions are conceptual, the federated model, FISQL/FIRA, and the notion of transformational completeness nevertheless have important applications to data integration and OLAP. In addition to summarizing these applications, we illustrate the use of FIRA to optimize FISQL queries using rule-based transformations that directly parallel their canonical relational counterparts. We conclude the article with an extended discussion of related work as well as an indication of current and future work on FISQL/FIRA.
    Type of Medium: Online Resource
    ISSN: 0362-5915 , 1557-4644
    RVK:
    Language: English
    Publisher: Association for Computing Machinery (ACM)
    Publication Date: 2005
    detail.hit.zdb_id: 196155-X
    detail.hit.zdb_id: 2006335-0
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  • 4
    Online Resource
    Online Resource
    Elsevier BV ; 2006
    In:  Electronic Notes in Theoretical Computer Science Vol. 150, No. 2 ( 2006-03), p. 37-54
    In: Electronic Notes in Theoretical Computer Science, Elsevier BV, Vol. 150, No. 2 ( 2006-03), p. 37-54
    Type of Medium: Online Resource
    ISSN: 1571-0661
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2006
    detail.hit.zdb_id: 2033227-0
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